From customization to scalability, there’s a lot to consider when deciding whether to build or buy an NLP or system. In this article we outline the dilemma and explore the pros and cons and costs of both options.

Paul Barba explains the role of machine learning and AI in natural language processing, how to apply machine learning to solve problems in natural language processing and text analytics, and why a hybrid ML-NLP approach is best.

Robotic Process Automation (RPA) reduces costs and increases profitability by freeing workers to focus on higher-value work. This article explains how text analytics and natural language processing fit into that picture, and why RPA providers looking to add text analytics and NLP into their platform are better-off buying and integrating a solution from an established vendor.